@article{fdi:010086743,
  title = {{H}armonic analysis of the relationship between {GNSS} precipitable water vapor and heavy rainfall over the {N}orthwest {E}quatorial coast, {A}ndes, and {A}mazon regions},
  author = {{S}errano-{V}incenti, {S}. and {C}ondom, {T}homas and {C}ampozano, {L}. and {E}scobar, {L}. {A}. and {W}alpersdorf, {A}. and {C}archipulla-{M}orales, {D}. and {V}illacis, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his study finds the relationship between increases in precipitable water vapor ({PWV}), and intense rainfall events in four different climatological regions of {S}outh {A}merica's equatorial northwest: the coast, {A}ndes valley, high mountains, and {A}mazon. {F}irst, the {PWV} was derived from tropospheric zenith delay measured by {G}lobal {N}avigation {S}atellite {S}ystem ({GNSS}) instrumentation located near meteorological stations within the regions of interest using hourly data from the year 2014. {A} harmonic analysis approach through continuous wavelet cross-spectrum and coherence, as well as discrete wavelets, was used to determine a measure of the lags found between {PWV} and specific heavy rain events and then compared with satellite {IR} images and meteorological anomalies. {T}he link between {PWV} peaks and rainfall was the most evident on the coast, and less discernible in the other stations possibly due to local dynamic factors. {T}he results showed a lag of 11 h between the preceding {PWV} increase and an intense rainfall event. {T}his was apparent in all of the stations, except in {A}mazon where it was 6 h, with the highest precision at the coast and with the largest dispersion in the high mountains. {T}he interpretation of this lag for each region is also discussed.},
  keywords = {precipitable water vapor ; (ground-based) {GNSS} ; heavy rainfall events ; {E}cuador ; wavelet coherence ; wavelet cross-correlation ; {EQUATEUR} ; {ANDES} ; {AMAZONIE}},
  booktitle = {},
  journal = {{A}tmosphere},
  volume = {13},
  numero = {11},
  pages = {1809 [31 p.]},
  year = {2022},
  DOI = {10.3390/atmos13111809},
  URL = {https://www.documentation.ird.fr/hor/fdi:010086743},
}